C3S2_384 Downscaling of CMIP6 Climate Projections using Machine Learning Tools to fill the Gaps of the Worldwide CORDEX RCM Simulations

Description

ECMWF, as the Entrusted Entity for the Copernicus Climate Change Service (C3S), invites tenders for providing new high resolution regional climate data using Machine Learning (ML) procedures which downscale CMIP6 Global Climate Models. This new dataset would complement the CORDEXCMIP6 datasets which will be published in parallel, and the two sets of data together will form an enhanced set of regional climate datasets, with improved coverage of the climate projection uncertainty space. ECMWF intends to award a single Framework Agreement for a period of maximum 32 months, which shall be implemented via a single Service Contract expected to commence in October 2025. Portal instructions: Some of the ITT documents are accessible under the ‘Attachments’ box at bottom right of this page. The full set of ITT documents which are provided inside the response questionnaire are only accessible by registering an interest in this opportunity (see the 'Expression of interest window' at top right). Please refer initially to the ‘ECMWF eProcurement Portal Guidance for suppliers’ file in the Attachments box as this document will help you navigate the portal and locate the necessary information in order to submit a proposal. Please note that the contact email address shown under 'Contact details' is not monitored, and any messages sent to this email address will not be attended to. Questions / clarifications concerning this ITT must be submitted via the Messaging area of the ITT, which can be accessed through the My Activities page of the Portal once you have logged-in and registered your interest in this opportunity. Keywords: climate projections, machine learning, CORDEX